SOTAVerified

Benchmarking

Papers

Showing 301–325 of 5548 papers

TitleStatusHype
Is Single-View Mesh Reconstruction Ready for Robotics?—0
Chart-to-Experience: Benchmarking Multimodal LLMs for Predicting Experiential Impact of Charts—0
JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language ModelsCode0
SEvoBench : A C++ Framework For Evolutionary Single-Objective Optimization Benchmarking—0
Twin-2K-500: A dataset for building digital twins of over 2,000 people based on their answers to over 500 questionsCode1
Semantic Correspondence: Unified Benchmarking and a Strong BaselineCode1
Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge GraphCode1
Wildfire spread forecasting with Deep LearningCode0
DailyQA: A Benchmark to Evaluate Web Retrieval Augmented LLMs Based on Capturing Real-World Changes—0
Learning collective multi-cellular dynamics from temporal scRNA-seq via a transformer-enhanced Neural SDECode0
Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms—0
BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text—0
Benchmarking Expressive Japanese Character Text-to-Speech with VITS and Style-BERT-VITS2—0
BioDSA-1K: Benchmarking Data Science Agents for Biomedical Research—0
IFEval-Audio: Benchmarking Instruction-Following Capability in Audio-based Large Language ModelsCode3
Benchmarking Retrieval-Augmented Multimomal Generation for Document Question AnsweringCode1
MiLQ: Benchmarking IR Models for Bilingual Web Search with Mixed Language Queries—0
Can AI Read Between The Lines? Benchmarking LLMs On Financial Nuance—0
REOBench: Benchmarking Robustness of Earth Observation Foundation ModelsCode1
CUB: Benchmarking Context Utilisation Techniques for Language Models—0
Benchmarking and Pushing the Multi-Bias Elimination Boundary of LLMs via Causal Effect Estimation-guided Debiasing—0
EduBench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational ScenariosCode1
AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic ScenariosCode1
MMMR: Benchmarking Massive Multi-Modal Reasoning Tasks—0
Mechanistic Understanding and Mitigation of Language Confusion in English-Centric Large Language Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4 TurboACC0.56—Unverified